Install this version:
emerge -a =dev-python/quack-kernels-0.6.2If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =dev-python/quack-kernels-0.6.2Or alternatively:
emerge --autounmask-write -a =dev-python/quack-kernels-0.6.2| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 0.6.2 | 8 | ~amd64 | 0 |
# Copyright 1999-2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
DISTUTILS_USE_PEP517=setuptools
PYTHON_COMPAT=( python3_{12..14} )
DISTUTILS_SINGLE_IMPL=1
# Python 3.15 remains unkeyworded in ::gentoo (verified 2026-08-04).
inherit distutils-r1 pypi
DESCRIPTION="Collection of CuTe-based CUDA kernels"
HOMEPAGE="
https://github.com/Dao-AILab/quack
https://pypi.org/project/quack-kernels/
"
LICENSE="Apache-2.0"
SLOT="0"
KEYWORDS="~amd64"
# The meaningful upstream tests compile and run CUDA kernels.
RESTRICT="test"
# Pure-Python; the kernels themselves are JIT-compiled at first use
# via apache-tvm-ffi + nvidia-cutlass-dsl. Upstream's cu13 extra
# selects the matching cutlass-dsl[cu13] sub-libs which we already
# pull via dev-python/nvidia-cutlass-dsl on this overlay; no USE
# flag needed. The 0.6.x cute-DSL requirement is
# nvidia-cutlass-dsl==4.6.1; the JIT'd kernels are ABI-locked to
# that upstream version. Verified 2026-08-05 against 0.6.2.
RDEPEND="
dev-python/torch-c-dlpack-ext[${PYTHON_SINGLE_USEDEP}]
sci-ml/pytorch[${PYTHON_SINGLE_USEDEP}]
$(python_gen_cond_dep '
~dev-python/nvidia-cutlass-dsl-4.6.1[${PYTHON_USEDEP}]
>=dev-python/apache-tvm-ffi-0.1.6[${PYTHON_USEDEP}]
<dev-python/apache-tvm-ffi-0.2[${PYTHON_USEDEP}]
dev-python/cuda-bindings[${PYTHON_USEDEP}]
dev-python/einops[${PYTHON_USEDEP}]
dev-python/numpy[${PYTHON_USEDEP}]
virtual/triton[${PYTHON_USEDEP}]
')
"
dev-python/torch-c-dlpack-ext[${PYTHON_SINGLE_USEDEP}] sci-ml/pytorch[${PYTHON_SINGLE_USEDEP}] $(python_gen_cond_dep ' ~dev-python/nvidia-cutlass-dsl-4.6.1[${PYTHON_USEDEP}] >=dev-python/apache-tvm-ffi-0.1.6[${PYTHON_USEDEP}] <dev-python/apache-tvm-ffi-0.2[${PYTHON_USEDEP}] dev-python/cuda-bindings[${PYTHON_USEDEP}] dev-python/einops[${PYTHON_USEDEP}] dev-python/numpy[${PYTHON_USEDEP}] virtual/triton[${PYTHON_USEDEP}] ')